Yuan‐Zhong Wang

发表

Original plant traceability of Dendrobium species using multi-spectroscopy fusion and mathematical models

Yuan-zhong Wang, Ye Wang, Zhi-tian Zuo, 2019, Royal Society Open Science.

Establishment of efficient adventitious shoots induction system and ex vitro rooting in Vaccinium corymbosum (Ericaceae)

Ye Wang, Heng-Yu Huang, Xiangrong Dong, 2019, Botanical Sciences.

Effects of Different Pre-drying and Drying Methods on Volatile Compounds in the Pericarp and Kernel of Amomum tsao-ko

Jinyu Zhang, Mei-quan Yang, Shao-bing Yang, 2022, Frontiers in Plant Science.

Ethnobotany, Phytochemistry and Pharmacological Properties of Eucommia ulmoides: A Review.

Li Tang, Chao-Yong Wang, Yuan‐Zhong Wang, 2019, The American journal of Chinese medicine.

A rapid identification based on FT-NIR spectroscopies and machine learning for drying temperatures of Amomum tsao-ko

Shao-bing Yang, Qi Lin, Yuan‐Zhong Wang, 2023, Journal of Food Composition and Analysis.

The Traditional Usages, Chemical Components and Pharmacological Activities of Wolfiporia cocos: A Review.

Zhi-tian Zuo, Lian Li, Yuan-Zhong Wang, 2022, The American journal of Chinese medicine.

Multisource information fusion strategies of mass spectrometry and Fourier transform infrared spectroscopy data for authenticating the age and parts of Vietnamese ginseng

Zhi-tian Zuo, Wan-yi Li, Lu Liu, 2021, Journal of Chemometrics.

Pattern recognition: An effective tool for quality assessment of herbal medicine based on chemical information

Yuan-zhong Wang, Ye Wang, Zhi-tian Zuo, 2020, Journal of Chemometrics.

Application of spectral image processing with different dimensions combined with large-screen visualization in the identification of boletes species

Jieqing Li, Honggao Liu, Yuan‐Zhong Wang, 2023, Frontiers in Microbiology.

Geographical traceability of Eucommia ulmoides leaves using attenuated total reflection Fourier transform infrared and ultraviolet-visible spectroscopy combined with chemometrics and data fusion

Li Tang, Jing Li, Chao-Yong Wang, 2021 .

Anticoagulant activity analysis and origin identification of Panax notoginseng using HPLC and ATR-FTIR spectroscopy.

Yuan-Zhong Wang, Zhihui Cui, Chun-Lu Liu, 2022, Phytochemical analysis : PCA.

Comprehensive quality assessment of Dendrubium officinale using ATR-FTIR spectroscopy combined with random forest and support vector machine regression.

Zhi-Tian Zuo, Yuan-Zhong Wang, Ye Wang, 2018, Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy.

[Research progress in chemical constituents in plants of Polygonatum and their pharmacological effects].

Jinyu Zhang, Jiao Zhang, Mei-quan Yang, 2019, Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica.

Extended application of deep learning combined with 2DCOS: Study on origin identification in the medicinal plant of Paris polyphylla var. yunnanensis.

Jiaqi Yue, Heng-Yu Huang, Yuan‐Zhong Wang, 2021, Phytochemical analysis : PCA.

Phytochemicals and bioactivities of Paris species

Ji Zhang, Yan-Li Zhao, Hang Jin, 2011 .

Attenuated Total Reflection-Fourier Transform Infrared Spectroscopy (ATR-FTIR) Combined with Chemometrics Methods for the Classification of Lingzhi Species

Yuan-zhong Wang, Jieqing Li, Honggao Liu, 2019, Molecules.

Traditional uses, chemical compositions and pharmacological activities of Dendrobium: A review.

Yuan‐Zhong Wang, Pei-Yuan Li, Li Li, 2023, Journal of ethnopharmacology.

[Determination of trace elements in cardiocrinum giganteum by FAAS].

Ben-cai Sha, Yuan‐Zhong Wang, Shu-Bin Li, 2007, Guang pu xue yu guang pu fen xi = Guang pu.

[Application of FTIR and Active Ingredients Quantitative Analysis on Quality Control of Dai Medicine Alstonia scholaris (L.) R. Br.].

Chunyong Yang, Ni-na Yang, Yuan‐Zhong Wang, 2017, Guang pu xue yu guang pu fen xi = Guang pu.

The potential of Amomum tsao-ko as a traditional Chinese medicine: traditional clinical applications, phytochemistry and pharmacological properties

Shao-bing Yang, Yuan‐Zhong Wang, Gang He, 2023, Arabian Journal of Chemistry.

A method of two-dimensional correlation spectroscopy combined with residual neural network for comparison and differentiation of medicinal plants raw materials superior to traditional machine learning: a case study on Eucommia ulmoides leaves

Lian Li, Yuan‐Zhong Wang, Zhi Min Li, 2022, Plant methods.

Morphological variability and allometric relationships of the herb Panax notoginseng in Yunnan, China

Ji Zhang, Yan-Li Zhao, Hang Jin, 2017 .

Authentication of Dendrobium Officinale from Similar Species with Infrared and Ultraviolet-Visible Spectroscopies with Data Visualization and Mining

Yuan-zhong Wang, Ye Wang, Heng-Yu Huang, 2020 .

FT-MIR and NIR spectral data fusion: a synergetic strategy for the geographical traceability of Panax notoginseng

Jinyu Zhang, Yuan-zhong Wang, Yun Li, 2017, Analytical and Bioanalytical Chemistry.

Geographic Authentication of Eucommia ulmoides Leaves Using Multivariate Analysis and Preliminary Study on the Compositional Response to Environment

Li Tang, J. Li, Yuan-zhong Wang, 2020, Frontiers in Plant Science.

Authentication of Dendrobium Species Using Near-Infrared and Ultraviolet–Visible Spectroscopy with Chemometrics and Data Fusion

Yuan-zhong Wang, Ye Wang, Zhi-tian Zuo, 2018, Analytical Letters.

Deep learning for geographical discrimination of Panax notoginseng with directly near-infrared spectra image

Yuan-zhong Wang, Jian-E. Dong, Ye Wang, 2020 .

[Rapid Prediction Study of Total Flavonids Content in Panax notoginseng Using Infrared Spectroscopy Combined with Chemometrics].

Ji Zhang, Jinyu Zhang, Yun Li, 2017, Guang pu xue yu guang pu fen xi = Guang pu.

[Study on the genuineness and producing area of Panax notoginseng based on infrared spectroscopy combined with discriminant analysis].

Fei Liu, Hang Jin, Chun-yan Yang, 2015, Guang pu xue yu guang pu fen xi = Guang pu.

Identification of geographical origin and different parts of Wolfiporia cocos from Yunnan in China using PLS-DA and ResNet based on FT-NIR.

Zhi-tian Zuo, Lian Li, Yuan-Zhong Wang, 2022, Phytochemical analysis : PCA.